> Markdown version of [/jobs/ext/2262366-cto-225-000-anuales](https://www.wearedevelopers.com/jobs/ext/2262366-cto-225-000-anuales). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cto - [225.000 €/Anuales] - **Company:** Subdiagonal - **Location:** Castro-Urdiales, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Distributed Systems, PostgreSQL, Routing, Open Source Technology, Role-Based Access Control, Redis, Next.js, TypeScript, Management of Software Versions, ReactJS, Large Language Models, Caching, Backend, Fastapi, Terraform, Webhooks, Docker - **Published:** August 27, 2026 - **Apply:** https://www.buscojobs.com.es/cto-225-000-%E2%82%AC-anuales-en-castro-urdiales-ID-369094772 ## About the Role No buscamos a alguien que solo sea de gestión. Buscamos a alguien que sea muy técnico. Con capacidad para construir arquitectura e infraestructura desde cero. Qué vas a construir AI Agents Tool calling y structured outputs Agent orchestration y sistemas multi-agent Memory y context management Human-in-the-loop Evals, guardrails y observabilidad Model routing, retries y fallbacks LLM Infrastructure OpenAI, Anthropic, Gemini y modelos open-source RAG, embeddings y reranking Semantic / hybrid search Prompt & context versioning Evaluación de calidad, latencia y coste Backend & Distributed Systems APIs y arquitecturas event-driven Async workers, queues y webhooks Multi-tenancy y RBAC Idempotency, caching y failure recovery Sistemas escalables y seguros Platform Engineering Construiremos primitives reutilizables para todos nuestros productos: auth / organizations / billing / integrations / agents / workflows / search / evals / observability StackPython · TypeScript · FastAPI · Node. xqziphu js · React · Next.js · PostgreSQL · Redis · pgvector · Docker · Terraform · AWS/GCP · OpenTelemetry LLMs: OpenAI · Anthropic · Gemini · open-source Orquestación: LangGraph / custom orchestration · MCP · tool calling · RAG · eval frameworks ## Description ¿Interesado en saber más sobre este trabajo?Desplácese hacia abajo y descubra qué habilidades, experiencia y cualificaciones académicas se necesitan.Madrid · Full-time presencialidad no obligatoria******* € + Phantom SharesEl objetivo no es construir un departamento tecnológico enorme.Es construir un equipo pequeño, extremadamente técnico y AI-native, con uno de los mayores niveles de output por engineer del mercado.No buscamos a alguien que solo sea de gestión.Buscamos a alguien que sea muy técnico.Con capacidad para construir arquitectura e infraestructura desde cero.Qué vas a construirAI AgentsTool calling y structured outputsAgent orchestration y sistemas multi-agentMemory y context managementHuman-in-the-loopEvals, guardrails y observabilidadModel routing, retries y fallbacksLLM InfrastructureOpenAI, Anthropic, Gemini y modelos open-sourceRAG, embeddings y rerankingSemantic / hybrid searchPrompt & context versioningEvaluación de calidad, latencia y costeBackend & Distributed SystemsAPIs y arquitecturas event-drivenAsync workers, queues y webhooksMulti-tenancy y RBACIdempotency, caching y failure recoverySistemas escalables y segurosPlatform EngineeringConstruiremos primitives reutilizables para todos nuestros productos:auth / organizations / billing / integrations / agents / workflows / search / evals / observabilityStackPython · TypeScript · FastAPI · Node.xqziphu js · React · Next.js · PostgreSQL · Redis · pgvector · Docker · Terraform · AWS/GCP · OpenTelemetryLLMs: OpenAI · Anthropic · Gemini · open-sourceOrquestación: LangGraph / custom orchestration · MCP · tool calling · RAG · eval frameworks ## Related Videos - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 131 - AI'm not sure about OSS](https://www.wearedevelopers.com/magazine/472-dev-digest-131-ai-m-not-sure-about-oss) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)